AIxIA 2024 - Advances in Artificial Intelligence

AIxIA 2024 - Advances in Artificial Intelligence

XXIIIrd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024, Bolzano, Italy, November 25-28, 2024 Proceedings

Istituto di Scienze e Tecnologie; Montali, Marco; Artale, Alessandro

Springer International Publishing AG

01/2025

342

Mole

9783031806063

Pré-lançamento - envio 15 a 20 dias após a sua edição

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.- Against the Clock: Lessons Learned by Applying Temporal Planning in

Practice.



.- A Novel Approach for Leveraging Agent-based Experts on Large

Language Models to Enable Data Sharing among Heterogeneous IoT

Devices in Agriculture.



.- An Extensive Empirical Analysis of Macro-Actions for Numeric Planning.



.- Feature selection on contextual embedding pushing the sparseness.



.- Neuro-symbolic Integration for Open Set Recognition in Network

Intrusion Detection.



.- MM-IGLU-IT: Multi-Modal Interactive Grounded Language

Understanding in Italian.



.- IDADA: A Blended Inductive-Deductive Approach for Data Augmentation .



.- HaWANet: Road Scene Understanding with Multi-modal Sensor Data

using Height-Width-driven Attention Network.



.- Hybrid Classification of European Legislation using Sustainable

Development Goals.



.- Supporting Decision-Making for City Management through Automated

Planning and Execution.



.- NutriWell: an Explainable Ontology-Based FoodAI Service for

Nutrition and Health Management.



.- Regular Clocks for Temporal Task Specifications in Reinforcement

Learning.



.- A Real-Time Support with Haptic Feedback for Safer Driving using

Monocular Camera.



.- Relating explanations with the inductive biases of Deep Graph Networks.



.- ntegrating Temporal Planning and Knowledge Representation to

Generate Personalized Touristic Itineraries.



.- ASR Systems Under Acoustic Challenges: A Multilingual Study.



.- Automating Resume Analysis: Knowledge Graphs via Prompt Engineering.



.- Combined Text-Visual Attention Models for Robot Task Learning and

Execution.



.- ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality.



.- Hierarchical Knowledge Extraction from Opaque Machine Learning

Predictors.



.- On Different Symbolic Music Representations for Algorithmic

Composition Approaches based on Neural Sequence Models.



.- DR-Minerva: a Multimodal Language Model based on Minerva for

Diagnostic Information Retrieval .



.- REPAIR platform: Robot-aidEd PersonAlIzed Rehabilitation.



.- Integrating classical planners with GPT-based Planning Policies.



.- Probabilistic Traces in Declarative Process Mining.
artificial intelligence;computer science;knowledge-based system;Natural language processing;computer systems;machine learning;databases;mathematics;formal logic;ontologies;theoretical computer science